Data Engineer

Office in Singapore: Singapore

Data Software Engineering

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We are seeking an experienced Data Engineer to design, build and operate enterprise-scale data platforms and pipelines. In this role, you’ll work side by side with business stakeholders, program managers and data scientists to create a robust and scalable data ecosystem. Your work will power analytics, reporting and machine learning across the organization, making a real impact on key strategic initiatives built on our Global Data Platform.

Responsibilities

Design, develop and maintain datasets and end-to-end data pipelines, ensuring high data quality, reliability and performance
Collaborate with stakeholders and program management to co-create the enterprise data strategy and common data model
Implement and operate modern data platforms, transformative data processes and reusable data services
Build, test and optimize data pipelines and structures that support data scientists and analytics teams, including machine learning workloads
Model and govern JSON-based schemas and metadata using centralized tools to ensure consistency and reuse
Troubleshoot, resolve and proactively prevent data-related issues across the data lifecycle
Support enterprise reporting, advanced analytics and data science use cases
Contribute to Agile delivery and continuous improvement initiatives

Requirements

Strong background in building or designing large-scale, fault-tolerant distributed systems
Strong hands-on experience with Big Data and open-source technologies such as S3, Hive, Spark, Trino, Kafka, Kubernetes and MinIO
Proven experience in heterogeneous business and technology environments with strong stakeholder management skills
Experience in large-scale data migration projects, especially involving on-premise data lakes
Hands-on experience integrating data science workbench platforms such as KNIME, Cloudera or Dataiku
Solid track record working in Agile environments using frameworks such as Scrum or SAFe
No visa sponsorship available

Nice to have

Experience in banking or financial services, including handling sensitive and regulated data across regions

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